Automatic texture segmentation for content-based image retrieval application

Fauzi, Mohammad Faizal Ahmad and Lewis, Paul H. (2006) Automatic texture segmentation for content-based image retrieval application. Pattern Analysis and Applications, 9 (4). pp. 307-323. ISSN 1433-7541

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Official URL: http://dx.doi.org/10.1007/s10044-006-0042-x

Abstract

In this article, a brief review on texture segmentation is presented, before a novel automatic texture segmentation algorithm is developed. The algorithm is based on a modified discrete wavelet frames and the mean shift algorithm. The proposed technique is tested on a range of textured images including composite texture images, synthetic texture images, real scene images as well as our main source of images, the museum images of various kinds. An extension to the automatic texture segmentation, a texture identifier is also introduced for integration into a retrieval system, providing an excellent approach to content-based image retrieval using texture features.

Item Type: Article
Subjects: T Technology > T Technology (General)
Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 14 Oct 2011 08:09
Last Modified: 04 Mar 2014 08:53
URI: http://shdl.mmu.edu.my/id/eprint/3264

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